Best Data Lineage Tools for MySQL

Effortlessly monitor thousands of tables through machine learning-driven anomaly detection alongside a suite of over 50 tailored metrics. Ensure comprehensive oversight of both data and metadata while meticulously mapping all asset dependencies from ingestion to business intelligence. This solution enhances productivity and fosters collaboration between data engineers and consumers. Sifflet integrates smoothly with your existing data sources and tools, functioning on platforms like AWS, Google Cloud Platform, and Microsoft Azure. Maintain vigilance over your data's health and promptly notify your team when quality standards are not satisfied. With just a few clicks, you can establish essential coverage for all your tables. Additionally, you can customize the frequency of checks, their importance, and specific notifications simultaneously. Utilize machine learning-driven protocols to identify any data anomalies with no initial setup required. Every rule is supported by a unique model that adapts based on historical data and user input. You can also enhance automated processes by utilizing a library of over 50 templates applicable to any asset, thereby streamlining your monitoring efforts even further. This approach not only simplifies data management but also empowers teams to respond proactively to potential issues.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Uncover, record, and oversee your metadata effectively. Dataedo features a range of automated metadata scanners designed to interface with different database technologies, where they extract data structures and metadata to populate your metadata repository. With just a few clicks, you can create a comprehensive catalog of your data while detailing each component. Clarify table and column names with user-friendly aliases, and enrich your understanding of data assets by adding descriptions and custom fields defined by users. Leverage sample data to gain insights into the contents of your data assets, allowing you to grasp the information better prior to utilization and ensuring its quality. Maintain high data standards through data profiling techniques. Facilitate widespread access to data knowledge across your organization. Enhance data literacy, democratize data access, and empower all members of your organization to leverage data more effectively with a simple on-premises data catalog solution. Strengthening data literacy through a well-structured data catalog will ultimately lead to improved decision-making processes.

Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.

With Secoda AI enhancing your metadata, you can effortlessly obtain contextual search results spanning your tables, columns, dashboards, metrics, and queries. This innovative tool also assists in generating documentation and queries from your metadata, which can save your team countless hours that would otherwise be spent on tedious tasks and repetitive data requests. You can easily conduct searches across all columns, tables, dashboards, events, and metrics with just a few clicks. The AI-driven search functionality allows you to pose any question regarding your data and receive quick, relevant answers. By integrating data discovery seamlessly into your workflow through our API, you can perform bulk updates, label PII data, manage technical debt, create custom integrations, pinpoint underutilized resources, and much more. By eliminating manual errors, you can establish complete confidence in your knowledge repository, ensuring that your team has the most accurate and reliable information at their fingertips. This transformative approach not only enhances productivity but also fosters a more informed decision-making process throughout your organization.

Castor serves as a comprehensive data catalog aimed at facilitating widespread use throughout an entire organization. It provides a holistic view of your data ecosystem, allowing you to swiftly search for information using its robust search capabilities. Transitioning to a new data framework and accessing necessary data becomes effortless. This approach transcends conventional data catalogs by integrating various data sources, thereby ensuring a unified truth. With an engaging and automated documentation process, Castor simplifies the task of establishing trust in your data. Within minutes, users can visualize column-level, cross-system data lineage. Gain an overarching perspective of your data pipelines to enhance confidence in your data integrity. This tool enables users to address data challenges, conduct impact assessments, and ensure GDPR compliance all in one platform. Additionally, it helps in optimizing performance, costs, compliance, and security associated with your data management. By utilizing our automated infrastructure monitoring system, you can ensure the ongoing health of your data stack while streamlining data governance practices.

Effortlessly create, edit, and manage your data models without the hassle of needing another tool by using Weld. This platform is equipped with an array of features designed to streamline your data modeling process, including intelligent autocomplete, code folding, error highlighting, audit logs, version control, and collaboration capabilities. Moreover, it utilizes the same text editor as VS Code, ensuring a fast, efficient, and visually appealing experience. Your queries are neatly organized in a library that is not only easily searchable but also accessible at any time. The audit logs provide transparency by showing when a query was last modified and by whom. Weld Model allows you to materialize your models in various formats such as tables, incremental tables, views, or tailored materializations that suit your specific design. Furthermore, you can conduct all your data operations within a single, user-friendly platform, supported by a dedicated team of data analysts ready to assist you. This integrated approach simplifies the complexities of data management, making it more efficient and less time-consuming.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

Keep a close eye on your data health and the performance of your pipelines. Achieve comprehensive oversight for pipelines utilizing cloud-native technologies such as Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability platform is specifically designed for Data Engineers. As the challenges in data engineering continue to escalate due to increasing demands from business stakeholders, Databand offers a solution to help you keep pace. With the rise in the number of pipelines comes greater complexity. Data engineers are now handling more intricate infrastructures than they ever have before while also aiming for quicker release cycles. This environment makes it increasingly difficult to pinpoint the reasons behind process failures, delays, and the impact of modifications on data output quality. Consequently, data consumers often find themselves frustrated by inconsistent results, subpar model performance, and slow data delivery. A lack of clarity regarding the data being provided or the origins of failures fosters ongoing distrust. Furthermore, pipeline logs, errors, and data quality metrics are often gathered and stored in separate, isolated systems, complicating the troubleshooting process. To address these issues effectively, a unified observability approach is essential for enhancing trust and performance in data operations.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

Truedat is a collaborative open-source tool designed for data governance, created by Bluetab Solutions to assist clients in transitioning into data-centric organizations. We specialize in outlining business processes, defining roles and responsibilities, and ensuring that these processes are effectively implemented. Furthermore, we focus on the integration and customization of Truedat’s open-source components to enhance data governance practices. Our commitment includes providing ongoing support and maintenance for the software and processes associated with the solution modules we install. Drawing from over eight years of expertise in Data Governance consulting and development, we have crafted a solution that addresses the challenges of managing and controlling intricate and ever-evolving data architectures. As enterprises increasingly migrate their IT infrastructures to cloud, multi-cloud, and hybrid environments, the complexity and variety of data sources expand, amplifying the demand for Truedat. This solution not only streamlines governance but also empowers organizations to navigate the complexities of modern data landscapes effectively.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.